1.
    发明专利
    未知

    公开(公告)号:ITVA990006A1

    公开(公告)日:2000-09-18

    申请号:ITVA990006

    申请日:1999-03-18

    Abstract: Through a comparison of the values of pixels of a first candidate predictor macroblock having pixels in homologous positions to those of a reference macroblock of identical position on the frame to that of the macroblock being estimated on a reference frame of the present sequence of picture frames, a pre-established cost function is evaluated for each comparison. The best predictor is the one producing the minimum value of cost function. The comparison may even include the summing to each predictor candidate of an update vector of smaller dimensions than the macroblocks, chosen among a plurality of pre-established update vectors, for accelerating the convergence process of the comparison.

    2.
    发明专利
    未知

    公开(公告)号:IT1313382B1

    公开(公告)日:2002-07-23

    申请号:ITVA990006

    申请日:1999-03-18

    Abstract: Through a comparison of the values of pixels of a first candidate predictor macroblock having pixels in homologous positions to those of a reference macroblock of identical position on the frame to that of the macroblock being estimated on a reference frame of the present sequence of picture frames, a pre-established cost function is evaluated for each comparison. The best predictor is the one producing the minimum value of cost function. The comparison may even include the summing to each predictor candidate of an update vector of smaller dimensions than the macroblocks, chosen among a plurality of pre-established update vectors, for accelerating the convergence process of the comparison.

    3.
    发明专利
    未知

    公开(公告)号:ITVA990006D0

    公开(公告)日:1999-03-18

    申请号:ITVA990006

    申请日:1999-03-18

    Abstract: Through a comparison of the values of pixels of a first candidate predictor macroblock having pixels in homologous positions to those of a reference macroblock of identical position on the frame to that of the macroblock being estimated on a reference frame of the present sequence of picture frames, a pre-established cost function is evaluated for each comparison. The best predictor is the one producing the minimum value of cost function. The comparison may even include the summing to each predictor candidate of an update vector of smaller dimensions than the macroblocks, chosen among a plurality of pre-established update vectors, for accelerating the convergence process of the comparison.

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